DocumentCode :
2166678
Title :
Analysis of Chinese Enterprise Financial Crisis Prewarning Based on BP Neural Network
Author :
Shen Xiangguang ; Song Xiaozhong
Author_Institution :
Econ. & Manage. Coll., Yanshan Univ., Qinhuangdao, China
fYear :
2010
fDate :
24-26 Aug. 2010
Firstpage :
1
Lastpage :
3
Abstract :
With the economic development of the emerging market countries, bankruptcy and financial crisis occur more and more frequently in business, credit and savings institutions, and thus the demand for enterprise financial crisis prewarning is rapidly growing. The main purpose of this paper to build a business financial crisis prewarning model based on BP neural network to conduct empirical analysis of the financial situation in Chinese enterprises. The conclusion shows that this model simulated the actual financial situation of enterprises. It can be not only applied to enterprise financial crisis prewarning in the emerging market countries, but also to financial crisis prewarning in the areas of micro-finance, such as credit and savings institutions, and so on.
Keywords :
backpropagation; business data processing; financial management; neural nets; BP neural network; Chinese enterprise financial crisis prewarning analysis; emerging market countries; microfinance; Analytical models; Artificial neural networks; Biological neural networks; Biological system modeling; Humans; Mathematical model; Training;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Management and Service Science (MASS), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5325-2
Electronic_ISBN :
978-1-4244-5326-9
Type :
conf
DOI :
10.1109/ICMSS.2010.5576918
Filename :
5576918
Link To Document :
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